Data Manager Position @ NYU Steinhardt

Specific Title: Data Manager
Division/Department: IHDSC, Steinhardt School of Culture, Education and Human
Development
Reports to: Professor Pamela Morris-Perez
Work Location: New York University, Washington Square Campus
Work Schedule: Part-time
Pay: $35-$40 per hour, depending on experience
Expected Start Date: Fall 2023
Period of Position: Academic year 2023-24 (September - May)


General Summary:
Seeking qualified applicant to work as a part-time data manager with Dr. Pamela Morris-Perez
to support one project that is part of her center, ARCADIA (A Research Center for Adolescent
Interconnected Approaches) for Suicide Prevention: a randomized study of a system-level
strategy “WeCARE,” in two hospital emergency departments in New York City, to screen Black
youth for suicide risk and connect those at risk for suicide to mental health services.
Dr. Morris-Perez also conducts an additional suicide prevention project, a cluster randomized
study of a school-based mental health/suicide prevention program in California called Directing
Change, where students make short films as part of a statewide film contest; and two projects in
early childhood: 1) partnership work with NYC’s Department of Education to study and support
the city’s universal pre-K program; and 2) the study of a parenting intervention within pediatric
care called Smart Beginnings. See NYU Faculty Bio page for a description of Dr. Morris-Perez’s
background and portfolio of research.


Successful candidates should have demonstrated experience building datasets for complex field
research projects with multiple data sources, integrating sample enrollment, program data, and
follow-up data into a single data set ready for reporting and analysis. Successful candidates
should have taken coursework in data management and sophisticated data
analysis. Candidates should be proactive, demonstrate excellent attention to detail, be able to
collaborate and engage in teamwork, and show proficiency at effectively multi-tasking. Strong
data processing, documentation, and analytical skills, and a solid understanding of quantitative
research are a must. Ability to write-up data processes for internal memos, project codebooks,
and publications is required. Research interest in suicide prevention, education policy, and
population-level demographics is a plus.


Responsibilities:
Responsibilities include active involvement in all stages of data management: data set-up,
management, creating and merging large datasets from REDCap and other data sources,
preparing variables for analysis, real-time data quality and sample recruitment checks, aiding in
the preparation and distribution of training and research materials, quantitative data analysis
using a range of analytic approaches, documenting processes (through code/syntax and data
manuals), creating reproducible/automated tables, and write-up of results. General work
supporting the project is possible, but not necessary. The Data Manager will work closely with
faculty, other research staff, and graduate and undergraduate students.


Qualifications:
Candidates should have a MA/MS and/or be working towards a PhD in statistics, developmental
psychology, economics, public policy, or related social science field. Former research
experience on comparable projects with data management and quantitative data analysis using
STATA is critical; knowledge of other statistical software (SAS, R) is a plus. Candidates should
be comfortable working in a fast-paced, team-oriented environment and communicating with a
wide range of individuals at all levels of the research team and the university.
● Three or more years prior quantitative research experience, including mastery of STATA;
● Experience setting up and documenting data systems for large and complex projects;
● Excellent data collection/management software (e.g., REDCap) skills for entering,
tracking, manipulating, checking, documenting processes; and with data analytic
software (e.g., STATA) for analyzing data;
● The ability to handle tasks requiring high levels of attention to detail, to carry complex
research tasks to completion, and to efficiently manage work in the time required; and
● Strong team-oriented skills.


Compensation:
This position is for 20 hours per week, with hybrid work (with some in person and some remote
hours each week) strongly preferred for team coordination. Will consider remote work with
periodic in-person meetings for excellent candidates who are outside of the NYC area (pending
school-level approval).


In compliance with NYC's Pay Transparency Act, the base hourly range for this position is
$35-40/hour. New York University considers factors such as, but not limited to, the specific grant
funding and the terms of the research grant when extending an offer.

Type
  • Paid job
  • Professional development
  • Research
Timeframe
  • Academic year